Albert Weichselbraun
Albert Weichselbraun
University of Applied Sciences of the Grisons
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Knowledge-based approaches to concept-level sentiment analysis
E Cambria, B Schuller, B Liu, H Wang, C Havasi
IEEE intelligent systems 28 (2), 12-14, 2013
Semi-automatic ontology extension using spreading activation
W Liu, A Weichselbraun, A Scharl, E Chang
Journal of Universal Knowledge Management, 50-58, 2005
Enriching semantic knowledge bases for opinion mining in big data applications
A Weichselbraun, S Gindl, A Scharl
Knowledge-based systems 69, 78-85, 2014
Extracting and grounding contextualized sentiment lexicons
A Weichselbraun, S Gindl, A Scharl
IEEE Intelligent Systems 28 (2), 39-46, 2013
Cross-domain contextualisation of sentiment lexicons
S Gindl, A Weichselbraun, A Scharl
Refining non-taxonomic relation labels with external structured data to support ontology learning
A Weichselbraun, G Wohlgenannt, A Scharl
Data & Knowledge Engineering 69 (8), 763-778, 2010
Multiple coordinated views for searching and navigating web content repositories
A Hubmann-Haidvogel, A Scharl, A Weichselbraun
Information Sciences 179 (12), 1813-1821, 2009
An automated approach to investigating the online media coverage of US presidential elections
A Scharl, A Weichselbraun
Journal of Information Technology & Politics 5 (1), 121-132, 2008
Aspect-based extraction and analysis of affective knowledge from social media streams
A Weichselbraun, S Gindl, F Fischer, S Vakulenko, A Scharl
IEEE Intelligent Systems 32 (3), 80-88, 2017
Web content mining for comparing corporate and third‐party online reporting: a case study on solid waste management
I Pollach, A Scharl, A Weichselbraun
Business Strategy and the Environment 18 (3), 137-148, 2009
Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons
A Weichselbraun, S Gindl, A Scharl
Proceedings of the 20th ACM international conference on Information and …, 2011
Analyzing the public discourse on works of fiction–Detection and visualization of emotion in online coverage about HBO’s Game of Thrones
A Scharl, A Hubmann-Haidvogel, A Jones, D Fischl, R Kamolov, ...
Information processing & management 52 (1), 129-138, 2016
A context-dependent supervised learning approach to sentiment detection in large textual databases
A Weichselbraun, S Gindl, A Scharl
Journal of Information and Data Management 1 (3), 329-329, 2010
Discovery and evaluation of non-taxonomic relations in domain ontologies
A Weichselbraun, G Wohlgenannt, A Scharl, M Granitzer, T Neidhart, ...
International Journal of Metadata, Semantics and Ontologies 4 (3), 212-222, 2009
Rule-based opinion target and aspect extraction to acquire affective knowledge
S Gindl, A Weichselbraun, A Scharl
Proceedings of the 22nd International Conference on World Wide Web, 557-564, 2013
From web intelligence to knowledge Co-creation: a platform for analyzing and supporting stakeholder communication
A Scharl, A Hubmann-Haidvogel, M Sabou, A Weichselbraun, HP Lang
IEEE Internet Computing 17 (5), 21-29, 2013
Media Watch on Climate Change--Visual Analytics for Aggregating and Managing Environmental Knowledge from Online Sources
A Scharl, A Hubmann-Haidvogel, A Weichselbraun, HP Lang, M Sabou
2013 46th Hawaii International Conference on System Sciences, 955-964, 2013
Dynamic integration of multiple evidence sources for ontology learning
G Wohlgenannt, A Weichselbraun, A Scharl, M Sabou
Journal of Information and Data Management 3 (3), 243-254, 2012
Semantic systems and visual tools to support environmental communication
A Scharl, D Herring, W Rafelsberger, A Hubmann-Haidvogel, R Kamolov, ...
IEEE Systems Journal 11 (2), 762-771, 2015
Analyzing news media coverage to acquire and structure tourism knowledge
A Scharl, A Dickinger, A Weichselbraun
Information technology & tourism 10 (1), 3-17, 2008
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